Heyrim Cho
Assistant Professor, Department of Mathematics
Interdisciplinary Center for Quantitative Modeling in Biology
University of California, Riverside


My research interest is in mathematical and computational biology, uncertainty quantification, and scientific computing. I have been developing numerical methods for high-dimensional stochastic systems and stochastic processes. I also work on modeling cancer growth and drug resistance in the purpose of optimizing anticancer therapies, and study approaches to quantify uncertainty in data-driven models.
I was a Brin postdoc fellow at University of Maryland, College Park, working with Doron Levy. I received my Ph.D. from the Division of Applied Math at Brown University, working with George Em Karniadakis. I received my B.S. in Applied mathematics and M.S.in Mathematics from KAIST (Korea Advanced Institute on Science and Technology), working with Professor Chang-Ock Lee.

Research Interests

  Mathematical and Computational Biology, Mathematical oncology, Data-driven modeling
  Stochastic modeling and Uncertainty Quantification 
  Computational methods for high-dimensional stochastic systems 
  Multi-scale modeling and simulations 
  Numerical PDE and High-performance computing 

Invited talks in conferences   

  Check out some of my talks! -> SIAM-UQ12, SIAM-UQ14
Check out some of my posters! -> IMO16, IMA18

  · 'Modeling continuous levels of cell states in cancer development and drug resistance’, JMM2019, Baltimore MD, 2019
  · 'Modeling continuous levels of cell differentiation in acute myeloid leukemia (AML)’, SIAM-LS18, MN, 2018
  · 'Modeling continuous levels of resistance to combination therapy in cancer’, SMB2018, Sydney, 2018
  · 'Modeling continuous levels of resistance to combination therapy in cancer’, Division of Math Oncology, Beckman Research Institute, 2018
  · 'Numerical methods for uncertainty quantification - from noise parameterization to efficient simulation of parameterized stochastic PDE’, Applied Mathematics Colloquium, UMBC, 2017
  · 'High-dimensional stochastic simulation and dimension reduction techniques’, MathSci Seminar, KAIST, 2017
  · 'Modeling chemotherapy-induced selection of drug-resistant traits during tumor growth’, Math. Meth. in Bio. Medicine, WPI, 2017
  · 'Modeling the dynamics of heterogeneity in response to chemotherapy’, SMB2017, Utah, 2017
  · 'Uncertainty propagation across distinct PDF and stochastic spectral systems', (SIAM-UQ16), EPFL, 2016
  · 'Uncertainty quantification based on the response-excitation PDF and reduced order PDF by using Mori-Zwanzig PDF approach’, (SIAM-CSE15), Salt Lake City UT, 2015
  · 'High-dimensional response-excitation PDF method : separated representation and ANOVA approximation',   International Conference on Spectral and High Order Methods (ICOSAHOM 2014), Salt Lake City UT, 2014 
  · 'Karhunen-Loeve expansion for multi-correlated stochastic processes'  SIAM-UQ14, Savannah GA, 2014 
  · 'Study of the stochastic inviscid Burgers equation with the joint response-excitation PDF equation',  4th International congress on Computational Engineering and Sciences (FEMTEC 2013), Las Vegas NV, 2013  
  · 'Numerical methods for high-dimensional response-excitation PDF equations',  14th International conference on Approximation Theory (AT14), San Antonio TX, 2013 
  · 'Spectral/hp element and discontinuous Galerkin methods for response-excitation PDF equations',   SIAM-CSE13, Boston (MA), 2013.
  · 'A new approach to UQ based on the joint excitation-response PDF: Theory and simulation',  SIAM-UQ12, Raleigh NC, 2012



Follow your bliss and the universe will open doors for you where there were only walls.
     ― Joseph Campbell   :)